On Sun, Aug 29, 2004 at 08:57:50PM +0200, Kai Schaetzl wrote:
> debug: auto-learn: message score: 26.353, computed score for autolearn: 23.74
> debug: auto-learn? ham=0.1, spam=8, body-points=14.687, head-points=2.2, 
> learned-points=1.886
> 
> There is an overall score of 26 - body score of 14 = 12 - head points =
> 10 - BAYES_99 = 8 (roughly). So,

As I said in the last message, the body/head bit is not straight-forward,
aka: it's slightly complex.  You can't just assume the equation 'body+head
= score' is valid because it's usually not.

>         *  1.2 HTML_MESSAGE HTML message
>         *  3.1 STRONG_BUY BODY: Tells you about a strong buy
>         *  2.7 NOT_ADVISOR BODY: Not registered investment advisor
>         *  0.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts
>         *  0.2 HTML_10_20 BODY: Message is 10% to 20% HTML
these all look like straight body rules, so they'd be added to body-points.

>         *  0.0 MIME_QP_LONG_LINE RAW: Quoted-printable line longer than 76 
> chars
head + body, but 0 score, so ignored.

>         *  2.3 LONGWORDS Long string of long words
meta and no "net" tflag, so ignored (could be either, so it's ignored -- this
is different from my last mail I think, but I reread the code to verify...)

>         *  4.1 RATWARE_ZERO_TZ Bulk email fingerprint (+0000) found
meta and no "net" tflag, so ignored (see above).

I have no input on the non-standard rules since they're ... well,
non-standard, so I have no idea how they're configured or what they do.
A quick look at the original list shows that SARE_MULT_RATW_02 seems
like the only header rule, and it's 2.2 points, which would explain the 2.2
head-points in the debug output though. :)

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